Qlik s Associative Model
|
|
- Jasmine Tucker
- 6 years ago
- Views:
Transcription
1 White Paper Qlik s Associative Model See the Whole Story that Lives Within Your Data August, 2015 qlik.com
2 Table of Contents Introduction 3 Qlik s associative model 3 Query-based visualization tools only part of the story 4 The drawbacks of query-based tools 4 An analogy 5 The associative model A to Z 6 Understanding associations 6 Explore and search 7 Key benefits 8 Qlik s associative model vs. query-based tools 9 Additional resources 10 Appendix: Let s geek out on the technology 11 Data indexed and highly optimized, in-memory 11 Dynamic calculation for speed of thought exploration 11 Queries can t keep up 12 Qlik s Associative Model 2
3 Introduction This white paper describes the unique associative model underpinning Qlik products. It provides an overview of this highly interactive user experience, outlines the differences between Qlik s technology and query-based visualization tools, and explains how people can fundamentally improve the way they conduct analysis to achieve deeper, more accurate insights. The core questions this paper answers are: What is Qlik s associative model?, How is it different?, and How does it help people make better decisions? The target audience for this paper includes business and technology decision makers who are evaluating and comparing visual analytics software products. Qlik s associative model Qlik s associative model is the exploratory capability in our products that enables users of all skill levels across an organization to see the whole story that lives within their data. Powered by our patented, in-memory associative data indexing (QIX) engine, Qlik products allow users to probe all the possible associations that exist in their data, across all of their data sources. People can freely explore using simple searches and selections, asking questions in any direction without restrictions or boundaries. Unlike query-based visualization tools and traditional BI, Qlik products do not limit users to predefined hierarchies or preconceived notions of how data should be related, allowing them to fully explore and understand how it truly is related. Creation is not exploration Most query-based visualization tools allow skilled users to conduct analysis through the assembly of new visualizations and queries. But even with claims of self-service simplicity, this approach requires a thorough understanding of underlying data models and how to construct analytics. So what happens after the experts build the visualizations? What happens when large communities of business users without creation skills simply want to search and explore data further? Qlik at a Glance Founded in Lund, Sweden in 1993 Approximately 36,000 customers in more than 100 countries Solutions driving leadership in the visual analytics market Qlik Sense Next-generation visual analytics QlikView Guided analytics and dashboards Qlik Cloud Web-based services for analytics and data Qlik Analytics Platform Developer platform for building visual analytic apps More than 1,700 technology provider, solution, OEM, implementation and system integrator partners More than 2,000 employees worldwide Recognized leader by industry analysts including Gartner, BARC, Forrester, Butler Analytics and Ventana Research Headquartered in Radnor, PA, USA NASDAQ: QLIK Of course, Qlik products offer an outstanding experience for creating visualizations. But while this is the end of the road for other tools, it s only the beginning of the journey with Qlik. Qlik s associative model provides everyone with a simple and powerful way to explore analytics and refine context, discover new data relationships, and gain the right insights to make the best decisions. This fundamental, interactive behavior is unique to Qlik products, made possible by our innovative associative model and underlying QIX engine. Qlik s Associative Model 3
4 Query-based visualization tools only part of the story Visualization tools that rely on SQL to query, join, and analyze data ultimately create blind spots in understanding. These tools use a structured, linear approach to visualize partial subsets of data, instead of offering the freeform exploration and search across all data that is offered by Qlik s associative model. Often these tools attempt to simulate Qlik s exploratory experience, but they quickly hit limits in terms of flexibility and performance. The only way to really ask new questions in a querybased tool is to build new visualizations and queries, which is inefficient and difficult for the average business user. The drawbacks of query-based tools The following are some of the drawbacks of query-based tools: Partial views Query-based tools extract a subset of data from the main dataset and return it in the form of a query result set. This result set is tied to a specific visualization and is divorced from the full dataset, making it difficult to get a complete picture of how things are related. In addition, the result set only includes associated values, not unrelated values, which often convey the most critical insights. Limited flexibility Visualizations and queries must typically be built in advance by power users, limiting business users to the pre-conceived notions the developers thought were the most relevant. If a business user wants to ask new questions or move in a direction beyond simple filtering, the only choice is to build a new query or visualization. No context As a user interacts with a visualization to apply filters, other visualizations and objects are not automatically kept in context. This is because each object is fed by a discrete query result set, divorced from the others. Some tools attempt to wire objects together into dashboards at the application level, but this approach cannot support more than a few objects without suffering performance issues. Qlik s Associative Model 4
5 Data loss If information is loaded from multiple data sources, query-based tools may not be able to achieve the equivalent of a full outer join. This results in data loss from one source or the other, which a business user may not even be aware of. Incorrect results Query based tools require users to have strong familiarity with the data model in order to ensure correct results. There is a significant risk for incorrect calculations, as values can be double or even triple counted if queries and joins are not defined correctly. Poor performance Query-based tools are at the mercy of the database(s) that support them, and no matter how robust the database, queries take time to execute. The problem is further compounded when wired dashboards execute multiple queries at the same time. As more and more concurrent users try to explore information, underlying databases simply can t keep up. An analogy Let s say the goal is to understand how an internal combustion engine works. With a query-based tool, you would see some of the individual parts of the engine in isolation. You would be able to evaluate one part at a time, but would be left on your own to attempt to understand the relationships (associations) between the parts, and how they fit together as a cohesive whole to create a working engine. With Qlik s associative model, however, you have the ability to analyze a complete working engine, with each part having a relationship to all of the other parts. You can tweak the throttle (make a selection) and see how this affects the fuel intake, carburetor and exhaust. You can watch the pistons pump and turn the crankshaft. You can deconstruct the engine at your leisure and look at each part in the context of the parts next to it. This is the power of the associative model. With Qlik s associative model, when users look at information, they know precisely how it is related. If they want to narrow the context down to a particular set of selections, they can immediately see how the rest of the data across the entire data set responds. They are not limited or restricted to seeing only a subset of the data relationships contained in a query result set. Qlik s Associative Model 5
6 The associative model A to Z Qlik s associative model allows users of any skill level to explore and refine context through simple searches and selections, starting anywhere and going anywhere. Every time the user clicks, the QIX engine instantly responds, dynamically recalculating all analytics based on the new context and highlighting associations in the data across all dimensions and sources. This instant feedback encourages users to think of new questions and continue their individual path of exploration, imposing no limits on the user and prompting them to ask and answer the next question. Understanding associations An association is simply a relationship between a value in one field and a value in another. For example, a product may have been sold in a certain country but not others. This product would be associated with the country it was sold in, and unrelated to the others. In Qlik s associative model, if you select the product it will appear in green, the associated country will appear in white, and the unrelated countries will appear in gray. Associations can be positive in nature a value that has a relationship to another, or negative a value that is unrelated to another. It is important to note that the unrelated (gray) values provide as much insight as the positive (white) ones often indicating new opportunities or areas of risk. Every unique value can be associated with many others in the data set. A product could have many associations in addition to countries, including the customers that bought it, the channels it was sold through, and individual transactions it was included in. Associations can work in any direction, extend across multiple relationships, and apply to combinations of values such as regions associated with the set of selected products and countries. Users won t always know what associations exist or which are important in advance. A query-based tool could easily report that a product was sold in several regions. However, noticing that it and other products were not sold through certain channels in a given region may not be as easy. And by missing critical insights like this, users are only getting part of the story. All your data Qlik s associative model fully integrates data from multiple sources, without suffering data loss from joining or filtering information at load time. Having access to all the data allows the QIX engine to dynamically expose associations as needed after every user interaction. This means the user gets a complete understanding without blind spots or incorrect insights due to missing information. For more insight on bringing together data from multiple sources, check out the blog post entitled Equal Rights For Your Data on the Qlik blog. Qlik s Associative Model 6
7 Explore and search With Qlik s associative model, users can explore analytics and associations through a step-by-step process of questioning and understanding. They can start with open ended questions, not knowing where they will lead, and ultimately take their own paths to insight. The process builds on itself as users ask more questions, add more context, and become more informed at every step along the way. 1 Ask a question Use simple selections and natural language searches Ask any questions, not just pre-defined ones Interact with any visualization or chart 2 Get instant feedback Associations revealed to the user (green, white, gray) All analytics and KPIs dynamically recalculated New context (selection state) applies across the entire app 3 Evaluate results, make discoveries, and formulate the next question Spot insights across all visualizations and objects in an app Understand how data is associated relative to current selections Formulate follow-up questions based on these insights An example of exploration and discovery In this example, the user starts with an open ended question and ends up asking a series of questions that lead to a better understanding of the business as a whole. A key insight about a particular customer segment in a certain region is ultimately revealed, prompting the user to take action. The next user might start with a different question and end up taking a different path, but either way, the questions are answered without the need to build additional queries or visualizations. The value adds up as more users make more discoveries across the business. Qlik s Associative Model 7
8 Smart search Smart Search allows for a simplified approach to asking questions, when a person does not necessarily know where to look for the right information. People can search across all their data using keywords, and will get immediate, ranked feedback on where their values match. Furthermore, if multiple values are entered, results will include not only the matching dimensions but also the associations that exist between the values, sorted intelligently based on strength of association. This powerful capability provides an accessible way for people to ask questions and get immediate insight. Key benefits The following are some key benefits of Qlik s associative model: The power of gray With the associative model, users can see not only the values that are associated with their selections, but also those that are unrelated. These values appear in gray, and often convey the most impactful insights such as areas of new opportunity or risk. For example, if you select a set of products, you may notice there were certain customer segments these products were not sold to. This capability is unique to Qlik and a great way to find unexpected insights. Context is key Qlik s associative model maintains a single context for all analytics across an entire application. When a user interacts with an object, making a selection or search to refine context, all analytics and data relationships are instantly updated to reflect this new context. This allows a user to explore across all their visualizations, at different levels of detail, at the speed of thought, to spot potential areas of interest and get a sense of where to go next. No restrictions Qlik s associative model does not place any restrictions or boundaries on the user. People are free to explore and search all their data, in any direction they want, probing possible data relationships and key areas of concern as they follow their own paths to insight. This flexibility is critical when looking at information from many angles, and at many different levels, to ultimately get a better understanding of the situation as a whole. Qlik s Associative Model 8
9 Qlik s associative model vs. query-based tools The following table summarizes the key differences between Qlik s Associative Model and query-based visualization tools: Exploration Interactivity Responsiveness Asking a new question Direction of questioning Data association Keyword search Context Dynamic calculation Table joins Multiple data sources Accuracy Scalability and performance Query-based tools Limited to drill/filter within a visualization and query result set Visualizations support predefined drill/filter only A single visualization responds to the filters applied within it Must create or modify visualizations and queries to ask new questions Limited exploration within query result sets Not available or very limited, queries return related values only Keyword search typically not available or very limited Objects wired together into dashboards at application level Calculation for a single object when a user applies a filter Defined at application level, executed at load time Limited data integration, SQL joins at load time can result in data loss Users must know data model to ensure accuracy Dependent on underlying database, large numbers of concurrent users risk poor performance Qlik s Associative Model Unrestricted ability to explore across all objects and multi-source data All objects support full set of user interactions All objects respond to show impact of interactions anywhere in the app Ask new questions through simple selections and searches Start anywhere and go anywhere, no restrictions or boundaries Complete set of associations after each click, including unrelated data Search across all data using combinations of keywords Engine automatically keeps all visualizations and objects in context Calculation for all visualizations and objects after every click Known to the engine, executed as needed when user clicks Robust integration of multiple sources with no loss of data Engine ensures the right data is used for calculations Flexibility and performance for high numbers of concurrent users and large data sets Qlik s Associative Model 9
10 Additional resources For more information and to download Qlik products, head to qlik.com. To experience the associative model in action, check out our online demos. To create your own analytics in the cloud, register to use Qlik Sense Cloud for free. Qlik s Associative Model 10
11 Appendix: Let s geek out on the technology The associative model in Qlik products is only possible because of the unique capabilities of the patented QIX Associative Data Indexing Engine. This powerful calculation and data indexing engine has powered Qlik products for the last fifteen years. It is built to respond instantly to the user, offering highspeed dynamic calculation and speed of thought response after each click. In this appendix we will cover the key aspects of how our engine works and what makes it different. Data indexed and highly optimized, in-memory Robust data integration The QIX engine integrates a full set of record level data from multiple sources into its in-memory engine. Qlik provides a robust set of data integration capabilities for transforming and bringing together disparate data sources, including graphical interfaces for loading data, data relationship profiling, and powerful scripting for complex transformations. And because table joins are not executed until user interaction, all data from all sources is retained. The QIX engine achieves the equivalent of a full outer join, and does not suffer the data loss associated with one-sided SQL joins executed at load time. For more insight on bringing together data from multiple sources, check out the blog post entitled Equal Rights For Your Data on the Qlik blog. Compressed binary storage Data is stored in a highly optimized, in-memory compressed binary format that optimizes performance and drives the associative model of exploration. Data relationships are known to the engine, defined through common column names in the multi-table model. Instead of storing values repetitively, the engine creates binary pointers for each unique value, storing the actual values only once. Analytics are not precalculated, meaning that any calculation can be performed on demand leading to near limitless flexibility. And because data relationships are managed by the engine, calculations will always occur on the correct tables, avoiding the risk of incorrect results. This unique columnar, binary indexing capability is the foundation for the QIX engine supporting interactive, associative data exploration and on-demand calculation, across high numbers of concurrent users and large data sets. Dynamic calculation for speed of thought exploration As high numbers of users explore information, it is a challenge to provide each of them with the flexibility and speed of thought response they need. Users constantly interact, making selections on the fly, searching for new information, and executing complex calculations on different subsets of data that cannot be predicted in advance. The QIX engine handles this difficult task through a two-step process every time a user interacts with an application. Logical inference Step one is logical inference which essentially means determining data associations. Before a user selects anything, the assumption is all that data is in play. However, each time a user makes a selection, the engine immediately calculates what distinct values in all related tables are associated to the new Qlik s Associative Model 11
12 context. By doing this, the engine can highlight for the user the important relationships in the data, revealing both positive and negative associations. In addition, this process allows the engine to minimize the data needed to support subsequent calculations, maximizing performance. Logical inference means the QIX engine always knows which data in which tables to use, and always takes the fastest path to the right data. Dynamic calculation Step two is dynamic calculation. Once the associated data set has been determined by logical inference, the QIX engine performs all calculations and aggregations on-demand storing the results in a cached hypercube. Calculations are broken into pieces and performed on individual tables as needed to maximize performance. Every user interaction triggers the engine to recalculate the values stored in the hypercube, providing the user with answers specific to their unique questions. And because data is highly compressed and optimized in-memory, and data sets are minimized by logical inference, the calculation is extremely fast. For more information on Qlik s patented engine technology, see the white paper entitled Interactive Data Exploration With An In-Memory Analytics Engine, written by Mike Ferguson from Intelligent Business Strategies. Queries can t keep up Achieving this combination of flexibility and performance is extremely difficult if not impossible with querybased tools. There is simply no way to provide speed of thought response for high numbers of concurrent users, analyzing large, complex data sets, who are asking questions that are not pre-defined. Even query-based tools that claim to have in-memory technologies for supporting ad-hoc queries are still limited by the very same query structure they rely on. The unique combination of compressed binary storage of data, logical inference, and dynamic calculation allows the QIX engine to make a highly complex task incredibly simple and transparent for users. Our engine has evolved over fifteen years of innovation and investment, delivering unprecedented value to over 36,000 customers QlikTech International AB. All rights reserved. Qlik, QlikView, Qlik Sense, QlikTech, and the QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners. Qlik s Associative Model 12
Qlik s Associative Model
White Paper Qlik s Associative Model See the Whole Story that Lives Within Your Data January, 2017 qlik.com Table of Contents Introduction 3 Qlik s associative model 3 Query-based visualization tools only
More informationThe Associative Difference
White Paper The Associative Difference Freedom from the limitations of query-based tools September, 2017 qlik.com Table of Contents Introduction 3 Qlik s Associative Difference 3 Query-based tools limitations
More informationQlik. 10 key elements of a successful data strategy and modern analytics platform. February 2019 Julie Kae Executive Director, Qlik.
Qlik 10 key elements of a successful data strategy and modern analytics platform February 2019 Julie Kae Executive Director, Qlik.org Legal Disclaimer Qlik roadmaps provide a general overview of our anticipated
More informationQlik Sense Performance Benchmark
Technical Brief Qlik Sense Performance Benchmark This technical brief outlines performance benchmarks for Qlik Sense and is based on a testing methodology called the Qlik Capacity Benchmark. This series
More informationQlik Analytics Platform
Technical Brief Qlik Analytics Platform Building Engaging Visual Analytics October, 2015 qlik.com Table of Contents Introduction 3 Introducing Qlik Analytics Platform 3 Integration Capabilities 4 Architecture
More informationQlik Sense Desktop. Data, Discovery, Collaboration in minutes. Qlik Sense Desktop. Qlik Associative Model. Get Started for Free
Qlik Sense Desktop Data, Discovery, Collaboration in minutes With Qlik Sense Desktop making business decisions becomes faster, easier, and more collaborative than ever. Qlik Sense Desktop puts rapid analytics
More informationQLIKVIEW ARCHITECTURAL OVERVIEW
QLIKVIEW ARCHITECTURAL OVERVIEW A QlikView Technology White Paper Published: October, 2010 qlikview.com Table of Contents Making Sense of the QlikView Platform 3 Most BI Software Is Built on Old Technology
More informationUNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX
UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX 1 Successful companies know that analytics are key to winning customer loyalty, optimizing business processes and beating their
More informationQlik Sense Enterprise architecture and scalability
White Paper Qlik Sense Enterprise architecture and scalability June, 2017 qlik.com Platform Qlik Sense is an analytics platform powered by an associative, in-memory analytics engine. Based on users selections,
More informationQLIKVIEW SCALABILITY BENCHMARK WHITE PAPER
QLIKVIEW SCALABILITY BENCHMARK WHITE PAPER Measuring Business Intelligence Throughput on a Single Server QlikView Scalability Center Technical White Paper December 2012 qlikview.com QLIKVIEW THROUGHPUT
More informationBeyond Excel: steps to a visually persuasive dashboard
Beyond Excel: steps to a visually persuasive dashboard Many professionals use Excel to store data that they want to visualize and turn into dashboards. The trouble is, creating a visually persuasive dashboard
More informationEducation Brochure. Education. Accelerate your path to business discovery. qlik.com
Education Education Brochure Accelerate your path to business discovery Qlik Education Services offers expertly designed coursework, tools, and programs to give your organization the knowledge and skills
More informationQLIKVIEW SCALABILITY BENCHMARK WHITE PAPER
QLIKVIEW SCALABILITY BENCHMARK WHITE PAPER Hardware Sizing Using Amazon EC2 A QlikView Scalability Center Technical White Paper June 2013 qlikview.com Table of Contents Executive Summary 3 A Challenge
More informationSCALING UP VS. SCALING OUT IN A QLIKVIEW ENVIRONMENT
SCALING UP VS. SCALING OUT IN A QLIKVIEW ENVIRONMENT QlikView Technical Brief February 2012 qlikview.com Introduction When it comes to the enterprise Business Discovery environments, the ability of the
More informationQlik Analytics Platform
DATA SHEET Qlik Analytics Platform QLIK.COM Building Engaging Visual Analytics Qlik has a simple philosophy: Visual analytics should allow you to discover every possible connection within your data. And
More informationAccelerating BI on Hadoop: Full-Scan, Cubes or Indexes?
White Paper Accelerating BI on Hadoop: Full-Scan, Cubes or Indexes? How to Accelerate BI on Hadoop: Cubes or Indexes? Why not both? 1 +1(844)384-3844 INFO@JETHRO.IO Overview Organizations are storing more
More informationWHITE PAPER: ENTERPRISE AVAILABILITY. Introduction to Adaptive Instrumentation with Symantec Indepth for J2EE Application Performance Management
WHITE PAPER: ENTERPRISE AVAILABILITY Introduction to Adaptive Instrumentation with Symantec Indepth for J2EE Application Performance Management White Paper: Enterprise Availability Introduction to Adaptive
More informationVAT/GST Analytics by Deloitte User Guide August 2017
VAT/GST Analytics by Deloitte User Guide August 2017 Contents What is VAT/GST Analytics? What is Qlik Sense? The Associative Model How to access Qlik Sense? Navigate through Qlik Sense A quick overview
More informationQuery-Time JOIN for Active Intelligence Engine (AIE)
Query-Time JOIN for Active Intelligence Engine (AIE) Ad hoc JOINing of Structured Data and Unstructured Content: An Attivio-Patented Breakthrough in Information- Centered Business Agility An Attivio Technology
More informationSelf-Service Data Preparation for Qlik. Cookbook Series Self-Service Data Preparation for Qlik
Self-Service Data Preparation for Qlik What is Data Preparation for Qlik? The key to deriving the full potential of solutions like QlikView and Qlik Sense lies in data preparation. Data Preparation is
More informationWHAT S NEW IN QLIKVIEW 11
WHAT S NEW IN QLIKVIEW 11 QlikView 11 takes Business Discovery to a whole new level by enabling users to more easily share information with coworkers, supporting larger enterprise deployments through enhanced
More informationBig Data to Big Value
White Paper Big Data to Big Value How Qlik can help you gain value from your Big Data September, 2017 qlik.com White Paper Table of Contents Executive Summary 3 Introduction 3 The growing need for Big
More informationMassive Scalability With InterSystems IRIS Data Platform
Massive Scalability With InterSystems IRIS Data Platform Introduction Faced with the enormous and ever-growing amounts of data being generated in the world today, software architects need to pay special
More informationMicrosoft SharePoint Server 2013 Plan, Configure & Manage
Microsoft SharePoint Server 2013 Plan, Configure & Manage Course 20331-20332B 5 Days Instructor-led, Hands on Course Information This five day instructor-led course omits the overlap and redundancy that
More informationProgress DataDirect For Business Intelligence And Analytics Vendors
Progress DataDirect For Business Intelligence And Analytics Vendors DATA SHEET FEATURES: Direction connection to a variety of SaaS and on-premises data sources via Progress DataDirect Hybrid Data Pipeline
More informationThe Art of Business Discovery
MAY 2010 A Explainer: The Art of Business Discovery Sponsored by QlikView Contents Introduction 1 Consolidate, Search, Visualize 2 Letting Go of Old Paradigms 4 There Is No Database 4 There Is No SQL Or
More informationQlikView Technical Library
Education Services QlikView Technical Library Description QlikView Technical Library is a for-fee offering. It contains a comprehensive set of training modules, each five to 10 minutes long, which will
More informationShine a Light on Dark Data with Vertica Flex Tables
White Paper Analytics and Big Data Shine a Light on Dark Data with Vertica Flex Tables Hidden within the dark recesses of your enterprise lurks dark data, information that exists but is forgotten, unused,
More informationCisco Collaborative Knowledge
Cisco Collaborative Knowledge Product Overview. Your workforce needs knowledge, speed and flexibility to solve real-world business challenges in today s fast moving digital economy. Cisco Collaborative
More informationIT Analytics 7.1 for Altiris IT Management Suite from Symantec
SOLUTION BRIEF: ENDPOINT MANAGEMENT........................................ IT Analytics 7.1 for Altiris IT Management Suite from Symantec Who should read this paper Altiris IT Management Suite from Symantec
More informationModel-Based Testing: Your Key to Better Software
Model-Based Testing: Your Key to Better Software The Testing Dilemma: Speed vs. Quality There s no question that when it comes to software development, speed to market is essential. But without quality,
More informationTeradata Aggregate Designer
Data Warehousing Teradata Aggregate Designer By: Sam Tawfik Product Marketing Manager Teradata Corporation Table of Contents Executive Summary 2 Introduction 3 Problem Statement 3 Implications of MOLAP
More informationQLIKVIEW GOVERNANCE DASHBOARD 1.0
QLIKVIEW GOVERNANCE DASHBOARD 1.0 A QlikView Technical Brief April 2013 qlikview.com Table of Contents About the QlikView Governance Dashboard 3 What s New Since Beta 2? 4 Summary Sheet 4 File Details
More informationSAS BI Dashboard 3.1. User s Guide Second Edition
SAS BI Dashboard 3.1 User s Guide Second Edition The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2007. SAS BI Dashboard 3.1: User s Guide, Second Edition. Cary, NC:
More informationAdvanced Solutions of Microsoft SharePoint Server 2013 Course Contact Hours
Advanced Solutions of Microsoft SharePoint Server 2013 Course 20332 36 Contact Hours Course Overview This course examines how to plan, configure, and manage a Microsoft SharePoint Server 2013 environment.
More informationStay Up-to-Date with New Developments in Your Field
Derwent Innovation Blueprint for Success Keep Aware of Changes in Your Patent Field How do I stay on top of new patents? Are my competitors seeking protection for new technologies or markets? Are there
More informationAgile Testing: Your Key to Better Software
Agile Testing: Your Key to Better Software What s in the Way of Testing at the Speed of Agile? Testing at the speed of agile drives quality at speed. But the question is, When do you think the testing
More informationThe strategic advantage of OLAP and multidimensional analysis
IBM Software Business Analytics Cognos Enterprise The strategic advantage of OLAP and multidimensional analysis 2 The strategic advantage of OLAP and multidimensional analysis Overview Online analytical
More informationWHAT S NEW IN QLIKVIEW 10. qlikview.com NEW FEATURES AND FUNCTIONALITY IN QLIKVIEW 10
WHAT S NEW IN QLIKVIEW 10 QlikView 10 offers significant improvements over QlikView 9 and introduces new concepts to the QlikView portfolio. This document describes new features and functionality in the
More informationCONFIDENTLY INTEGRATE VMWARE CLOUD ON AWS WITH INTELLIGENT OPERATIONS
SOLUTION OVERVIEW CONFIDENTLY INTEGRATE VMWARE WITH INTELLIGENT OPERATIONS VMware Cloud TM on AWS brings VMware s enterprise class Software-Defined Data Center (SDDC) software to the AWS Cloud, with optimized
More informationLow Friction Data Warehousing WITH PERSPECTIVE ILM DATA GOVERNOR
Low Friction Data Warehousing WITH PERSPECTIVE ILM DATA GOVERNOR Table of Contents Foreword... 2 New Era of Rapid Data Warehousing... 3 Eliminating Slow Reporting and Analytics Pains... 3 Applying 20 Years
More informationCollaborate in Qlik Sense. Qlik Sense April 2018 Copyright QlikTech International AB. All rights reserved.
Collaborate in Qlik Sense Qlik Sense April 2018 Copyright 1993-2018 QlikTech International AB. All rights reserved. Copyright 1993-2018 QlikTech International AB. All rights reserved. Qlik, QlikTech, Qlik
More informationMAPR DATA GOVERNANCE WITHOUT COMPROMISE
MAPR TECHNOLOGIES, INC. WHITE PAPER JANUARY 2018 MAPR DATA GOVERNANCE TABLE OF CONTENTS EXECUTIVE SUMMARY 3 BACKGROUND 4 MAPR DATA GOVERNANCE 5 CONCLUSION 7 EXECUTIVE SUMMARY The MapR DataOps Governance
More informationQlik Sense Mobile September 2018 (version 1.6.1) release notes
Release Notes Qlik Sense Mobile September 2018 (version 1.6.1) release notes qlik.com Table of Contents Overview 3 Compatibility 3 Bug fixes 4 Qlik Sense Mobile September 2018 (version 1.6.1) 4 Qlik Sense
More informationA Model for Resilience
A Model for Resilience THREE STEPS TO CREATING A RESILIENT, CHANGE-READY ENTERPRISE Business resilience is the ability to anticipate risk, mitigate the impact and move forward with confidence as you transform
More informationLOADING IMAGES INTO QLIKVIEW
LOADING IMAGES INTO QLIKVIEW QlikTech Technical Brief May 2013 Contents INTRODUCTION... 3 SET THE SCENE... 3 BUNDLE LOAD IMAGES ASSOCIATED TO DATA... 4 BUNDLE LOAD IMAGES NOT ASSOCIATED TO OTHER DATA FILES...
More informationSIEM Solutions from McAfee
SIEM Solutions from McAfee Monitor. Prioritize. Investigate. Respond. Today s security information and event management (SIEM) solutions need to be able to identify and defend against attacks within an
More informationCA Test Data Manager Key Scenarios
WHITE PAPER APRIL 2016 CA Test Data Manager Key Scenarios Generate and secure all the data needed for rigorous testing, and provision it to highly distributed teams on demand. Muhammad Arif Application
More informationThe power management skills gap
The power management skills gap Do you have the knowledge and expertise to keep energy flowing around your datacentre environment? A recent survey by Freeform Dynamics of 320 senior data centre professionals
More informationThe SD-WAN security guide
The SD-WAN security guide How a flexible, software-defined WAN can help protect your network, people and data SD-WAN security: Separating fact from fiction For many companies, the benefits of SD-WAN are
More informationAdvanced Solutions of Microsoft SharePoint 2013
Course 20332A :Advanced Solutions of Microsoft SharePoint 2013 Page 1 of 9 Advanced Solutions of Microsoft SharePoint 2013 Course 20332A: 4 days; Instructor-Led About the Course This four-day course examines
More informationRSDs vs Dossiers Best Practices on When and Where to use them
RSDs vs Dossiers Best Practices on When and Where to use them Matthew Hannagan, Principal Consultant, United Kingdom Copyright 2017 MicroStrategy Incorporated. All Rights Reserved. Safe Harbor Notice This
More informationSOLUTION BRIEF RSA NETWITNESS EVOLVED SIEM
RSA NETWITNESS EVOLVED SIEM OVERVIEW A SIEM is technology originally intended for compliance and log management. Later, as SIEMs became the aggregation points for security alerts, they began to be more
More informationOracle Big Data Connectors
Oracle Big Data Connectors Oracle Big Data Connectors is a software suite that integrates processing in Apache Hadoop distributions with operations in Oracle Database. It enables the use of Hadoop to process
More informationPerfect Balance of Public and Private Cloud
Perfect Balance of Public and Private Cloud Delivered by Fujitsu Introducing A unique and flexible range of services, designed to make moving to the public cloud fast and easier for your business. These
More informationAdvanced Solutions of Microsoft SharePoint Server 2013
Course Duration: 4 Days + 1 day Self Study Course Pre-requisites: Before attending this course, students must have: Completed Course 20331: Core Solutions of Microsoft SharePoint Server 2013, successful
More information15-Minute Fix: A Step-by-Step Guide to Designing Beautiful Dashboards
15-Minute Fix: A Step-by-Step Guide to Designing Beautiful Dashboards With a dashboard, every unnecessary piece of information results in time wasted trying to filter out what s important. Stephen Few,
More informationMicrosoft Power BI for O365
Microsoft Power BI for O365 Next hour.. o o o o o o o o Power BI for O365 Data Discovery Data Analysis Data Visualization & Power Maps Natural Language Search (Q&A) Power BI Site Data Management Self Service
More informationTableau Metadata Model
Tableau Metadata Model Author: Marc Reuter Senior Director, Strategic Solutions, Tableau Software p2 Most Business Intelligence platforms fall into one of two metadata camps: either model the entire enterprise
More informationBusiness Analytics Nanodegree Syllabus
Business Analytics Nanodegree Syllabus Master data fundamentals applicable to any industry Before You Start There are no prerequisites for this program, aside from basic computer skills. You should be
More informationA Better Approach to Leveraging an OpenStack Private Cloud. David Linthicum
A Better Approach to Leveraging an OpenStack Private Cloud David Linthicum A Better Approach to Leveraging an OpenStack Private Cloud 1 Executive Summary The latest bi-annual survey data of OpenStack users
More informationWHITE PAPER Application Performance Management. The Case for Adaptive Instrumentation in J2EE Environments
WHITE PAPER Application Performance Management The Case for Adaptive Instrumentation in J2EE Environments Why Adaptive Instrumentation?... 3 Discovering Performance Problems... 3 The adaptive approach...
More informationCase Study: Tata Communications Delivering a Truly Interactive Business Intelligence Experience on a Large Multi-Tenant Hadoop Cluster
Case Study: Tata Communications Delivering a Truly Interactive Business Intelligence Experience on a Large Multi-Tenant Hadoop Cluster CASE STUDY: TATA COMMUNICATIONS 1 Ten years ago, Tata Communications,
More informationWEBMETHODS AGILITY FOR THE DIGITAL ENTERPRISE WEBMETHODS. What you can expect from webmethods
WEBMETHODS WEBMETHODS AGILITY FOR THE DIGITAL ENTERPRISE What you can expect from webmethods Software AG s vision is to power the Digital Enterprise. Our technology, skills and expertise enable you to
More informationSOLUTION BRIEF CA TEST DATA MANAGER FOR HPE ALM. CA Test Data Manager for HPE ALM
SOLUTION BRIEF CA TEST DATA MANAGER FOR HPE ALM CA Test Data Manager for HPE ALM Generate all the data needed to deliver fully tested software, and export it directly into Hewlett Packard Enterprise Application
More informationThe Business Case for a Web Content Management System. Published: July 2001
The Business Case for a Web Content Management System Published: July 2001 Contents Executive Summary... 1 The Business Case for Web Content Management... 2 The Business Benefits of Web Content Management...
More informationWhat s New in Spotfire DXP 1.1. Spotfire Product Management January 2007
What s New in Spotfire DXP 1.1 Spotfire Product Management January 2007 Spotfire DXP Version 1.1 This document highlights the new capabilities planned for release in version 1.1 of Spotfire DXP. In this
More informationEMC GREENPLUM MANAGEMENT ENABLED BY AGINITY WORKBENCH
White Paper EMC GREENPLUM MANAGEMENT ENABLED BY AGINITY WORKBENCH A Detailed Review EMC SOLUTIONS GROUP Abstract This white paper discusses the features, benefits, and use of Aginity Workbench for EMC
More informationRapid Bottleneck Identification A Better Way to do Load Testing. An Oracle White Paper June 2008
Rapid Bottleneck Identification A Better Way to do Load Testing An Oracle White Paper June 2008 Rapid Bottleneck Identification A Better Way to do Load Testing. RBI combines a comprehensive understanding
More informationForeScout ControlFabric TM Architecture
ForeScout ControlFabric TM Architecture IMPROVE MULTI-VENDOR SOLUTION EFFECTIVENESS, RESPONSE AND WORKFLOW AUTOMATION THROUGH COLLABORATION WITH INDUSTRY-LEADING TECHNOLOGY PARTNERS. The Challenge 50%
More informationVMWARE CLOUD FOUNDATION: THE SIMPLEST PATH TO THE HYBRID CLOUD WHITE PAPER AUGUST 2018
VMWARE CLOUD FOUNDATION: THE SIMPLEST PATH TO THE HYBRID CLOUD WHITE PAPER AUGUST 2018 Table of Contents Executive Summary 3 A Single Architecture for Hybrid Cloud 4 Introducing VMware Cloud Foundation
More informationCognizant Cloud Security Solution
CLOUD SECURITY OVERVIEW Cognizant Cloud Security Solution Transform your security operation to protect your business across public and hybrid cloud environments. December 2017 The advantages of moving
More informationCSCI 320 Group Project
CSCI 320 Group Project Project Description This is a semester long group project. Project Goals Group project of 3-4 students. Groups will not change after assigned. Select a project domain from the list
More informationSmart Data Center From Hitachi Vantara: Transform to an Agile, Learning Data Center
Smart Data Center From Hitachi Vantara: Transform to an Agile, Learning Data Center Leverage Analytics To Protect and Optimize Your Business Infrastructure SOLUTION PROFILE Managing a data center and the
More informationQlikView, Creating Business Discovery Application using HDP V1.0 March 13, 2014
QlikView, Creating Business Discovery Application using HDP V1.0 March 13, 2014 Introduction Summary Welcome to the QlikView (Business Discovery Tools) tutorials developed by Qlik. The tutorials will is
More informationHANA Performance. Efficient Speed and Scale-out for Real-time BI
HANA Performance Efficient Speed and Scale-out for Real-time BI 1 HANA Performance: Efficient Speed and Scale-out for Real-time BI Introduction SAP HANA enables organizations to optimize their business
More informationHow to Accelerate Merger and Acquisition Synergies
How to Accelerate Merger and Acquisition Synergies MERGER AND ACQUISITION CHALLENGES Mergers and acquisitions (M&A) occur frequently in today s business environment; $3 trillion in 2017 alone. 1 M&A enables
More informationRigorously Test Composite Applications Faster With CA Test Data Manager and CA Agile Requirements Designer
SOLUTION BRIEF CA TEST DATA MANAGER AND CA AGILE REQUIREMENTS DESIGNER Rigorously Test Composite Applications Faster With CA Test Data Manager and CA Agile Requirements Designer Generate rich virtual data
More informationVerint Knowledge Management Solution Brief Overview of the Unique Capabilities and Benefits of Verint Knowledge Management
Verint Knowledge Management Solution Brief Overview of the Unique Capabilities and Benefits of Verint Knowledge Management November 2015 Table of Contents Introduction... 1 Verint Knowledge Management
More informationWebsite Designs Australia
Proudly Brought To You By: Website Designs Australia Contents Disclaimer... 4 Why Your Local Business Needs Google Plus... 5 1 How Google Plus Can Improve Your Search Engine Rankings... 6 1. Google Search
More information5G Readiness Survey 2017
5G Readiness Survey 2017 An assessment of operators progress on the road to 5G 1 5G READINESS SURVEY 2017: AN ASSESSMENT OF OPERATORS PROGRESS ON THE ROAD TO 5G Are Operators Ready for 5G? 5G next-generation
More informationXcelerated Business Insights (xbi): Going beyond business intelligence to drive information value
KNOWLEDGENT INSIGHTS volume 1 no. 5 October 7, 2011 Xcelerated Business Insights (xbi): Going beyond business intelligence to drive information value Today s growing commercial, operational and regulatory
More informationOptimizing SQL Transactions
High Performance Oracle Optimizing SQL Transactions Dave Pearson Quest Software Copyright 2006 Quest Software Quest Solutions for Enterprise IT Quest Software develops innovative products that help customers
More informationExplore, discover and analyze. Qlik Sense April 2018 Copyright QlikTech International AB. All rights reserved.
Explore, discover and analyze Qlik Sense April 2018 Copyright 1993-2018 QlikTech International AB. All rights reserved. Copyright 1993-2018 QlikTech International AB. All rights reserved. Qlik, QlikTech,
More informationPreparing your network for the next wave of innovation
Preparing your network for the next wave of innovation The future is exciting. Ready? 2 Executive brief For modern businesses, every day brings fresh challenges and opportunities. You must be able to adapt
More informationQlikView Technical Library
Education Services QlikView Technical Library Description QlikView Technical Library is a for-fee offering. It contains a comprehensive set of training modules, each five to 10 minutes long, which will
More informationInformatica Enterprise Information Catalog
Data Sheet Informatica Enterprise Information Catalog Benefits Automatically catalog and classify all types of data across the enterprise using an AI-powered catalog Identify domains and entities with
More informationMonitor Qlik Sense sites. Qlik Sense Copyright QlikTech International AB. All rights reserved.
Monitor Qlik Sense sites Qlik Sense 2.1.2 Copyright 1993-2015 QlikTech International AB. All rights reserved. Copyright 1993-2015 QlikTech International AB. All rights reserved. Qlik, QlikTech, Qlik Sense,
More informationBuilt to keep you moving
B L A C K B E R R Y Z 1 0: R A I S I N G T H E B A R F O R B U S I N E S S BlackBerry 10 is an entirely new mobile computing platform that removes many of the barriers that slow down other devices. Here
More informationWriting Reports with Report Designer and SSRS 2014 Level 1
Writing Reports with Report Designer and SSRS 2014 Level 1 Duration- 2days About this course In this 2-day course, students are introduced to the foundations of report writing with Microsoft SQL Server
More informationEffective News Content Sharing Within Station Groups in a Daily News Cycle
Effective News Content Sharing Within Station BY MIKE PALMER Sharing news content between television stations within an ownership group brings benefits at both the group and local level, increasing competitive
More informationAUTOMATED INTELLIGENCE. Release 6.3
AUTOMATED INTELLIGENCE Release 6.3 Dynamic AI release 6.3 Dynamic AI version 6.3 introduces a number of new features to help end-users and developers get faster results, overview and insight into data-sources
More informationSAS Visual Analytics 8.2: Getting Started with Reports
SAS Visual Analytics 8.2: Getting Started with Reports Introduction Reporting The SAS Visual Analytics tools give you everything you need to produce and distribute clear and compelling reports. SAS Visual
More informationGuide Users along Information Pathways and Surf through the Data
Guide Users along Information Pathways and Surf through the Data Stephen Overton, Overton Technologies, LLC, Raleigh, NC ABSTRACT Business information can be consumed many ways using the SAS Enterprise
More informationThree Key Challenges Facing ISPs and Their Enterprise Clients
Three Key Challenges Facing ISPs and Their Enterprise Clients GRC, enterprise services, and ever-evolving hybrid infrastructures are all dynamic and significant challenges to the ISP s enterprise clients.
More informationPartner Presentation Faster and Smarter Data Warehouses with Oracle OLAP 11g
Partner Presentation Faster and Smarter Data Warehouses with Oracle OLAP 11g Vlamis Software Solutions, Inc. Founded in 1992 in Kansas City, Missouri Oracle Partner and reseller since 1995 Specializes
More informationFacebook Page Insights
Facebook Product Guide for Facebook Page owners Businesses will be better in a connected world. That s why we connect 845M people and their friends to the things they care about, using social technologies
More informationDatabricks Delta: Bringing Unprecedented Reliability and Performance to Cloud Data Lakes
Databricks Delta: Bringing Unprecedented Reliability and Performance to Cloud Data Lakes AN UNDER THE HOOD LOOK Databricks Delta, a component of the Databricks Unified Analytics Platform*, is a unified
More informationPredictive Insight, Automation and Expertise Drive Added Value for Managed Services
Sponsored by: Cisco Services Author: Leslie Rosenberg December 2017 Predictive Insight, Automation and Expertise Drive Added Value for Managed Services IDC OPINION Competitive business leaders are challenging
More informationQLogic 16Gb Gen 5 Fibre Channel for Database and Business Analytics
QLogic 16Gb Gen 5 Fibre Channel for Database Assessment for Database and Business Analytics Using the information from databases and business analytics helps business-line managers to understand their
More information